Parallel computational optimization in operations research: A new integrative framework, literature review and research directions.

摘要: Solving optimization problems with parallel algorithms has a long tradition in OR. Its future relevance for solving hard many fields, including finance, logistics, production and design, is leveraged through the increasing availability of powerful computing capabilities. Acknowledging existence several literature reviews on optimization, we did not find that cover most recent parallelization both exact (meta)heuristic methods. However, past decade substantial advancements capabilities have been achieved used by OR scholars so an overview modern accounts these beneficial. Another issue from previous results their adoption different foci concepts to describe structure prior differ. This heterogeneity accompanied lack unifying frameworks across methodologies, application fields problems, it finally led overall fragmented picture what still needs be done review addresses aforementioned issues three contributions: First, suggest new integrative framework computational domains. The integrates perspectives algorithmic design implementation optimization. Second, apply synthesize research OR, focusing studies published period 2008-2017. Finally, directions